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priorities, such as Sustainability, Digital transformation and Circular economy, through the execution of five Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire
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. Applicants seeking further information are invited to contact Associate Professor Florin Musat (florin.musat@bio.au.dk) . Who we are The successful candidate will be employed by the Department of Biology at
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is engaged in several metabolite discovery campaigns involving mining of large-scale metabolomic datasets to discover novel metabolites associated with human disease, genetics, and dietary exposures
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Alzheimer’s disease to develop and/or apply computational approaches to large scale genomic or transcriptomic datasets for identification of targets for early detection, prevention or treatment of Alzheimer’s
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multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive
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suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University
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Fred Hutch, providing a collaborative environment at the interface of molecular biology, functional genomics, and data science. Fred Hutch hosts more than 200 postdoctoral fellows and offers mentoring
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-particle cryo-EM (sample prep, data processing, model building) is a plus • Expertise in protein expression/purification, especially large multi-subunit complexes • Background in cilia biology, membrane
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of large data sets. Determining fundamental and technical limits of a measurement, using principles such as the Cramer Rao bound and Fisher information, Gaussian process, Kalman filter, and state estimation
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-ribosylation or PARP biology Experience with high-resolution LC-MS systems, PTM enrichment strategies, or large-scale proteomics experiments will be considered an advantage. The ideal candidate is